Improving Disease Prediction by Incorporating Family Disease History in Risk Prediction Models with Large-Scale Genetic Data

Despite the many successes of genome-wide association studies (GWAS), the known susceptibility variants identified by GWAS have modest effect sizes, leading to notable skepticism about the effectiveness of building a risk prediction model from large-scale genetic data. However, in contrast to geneti...

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Détails bibliographiques
Publié dans:Genetics
Auteurs principaux: Gim, Jungsoo, Kim, Wonji, Kwak, Soo Heon, Choi, Hosik, Park, Changyi, Park, Kyong Soo, Kwon, Sunghoon, Park, Taesung, Won, Sungho
Format: Artigo
Langue:Inglês
Publié: Genetics Society of America 2017
Sujets:
Investigations
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5676245/
https://ncbi.nlm.nih.gov/pubmed/28899997
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/genetics.117.300283
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